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فریب کلاهبرداران را نخورید! تل‌متریو این کانال‌ها را شناسایی و برچسب‌گذاری می‌کند 👉 برای مشاهده برچسب، اشتراک تهیه کنید

Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 تحلیل کانال تلگرام Learn Python Coding

کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 872 مشترک است و جایگاه 3 281 را در دسته فناوری و برنامه‌ها و رتبه 9 100 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 872 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 02 نوامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 278 و در ۲۴ ساعت گذشته برابر -2 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 4.94% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 0.99% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 021 بازدید دریافت می‌کند. در اولین روز معمولاً 403 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 2 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 03 نوامبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

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Slugify module A slug is a simplified version of a title or name where special characters are replaced with hyphens (-), and all letters are converted to lowercase. For example, the title "How to create a slug in Python!" becomes "how-to-create-a-slug-in-python" A slug is a friendly and readable string format commonly used in URLs to identify a resource.  
from slugify import slugify

title = "Example post about creating slugs"
slug = slugify(title)
print(slug)  # output: example-post-about-creating-slugs
🔸The string is converted to lowercase. 🔸Special characters and spaces are removed and replaced with hyphens. 🔸The result is short and easy to read. Library installation:
pip install python-slugify
👉 @DataScience4

Transcribe Youtube Videos using Python
Transcribe Youtube Videos using Python

Part 6: Advanced Web Scraping Techniques – JavaScript Rendering, Fingerprinting, and Large-Scale Data Processing Duration: ~6
Part 6: Advanced Web Scraping Techniques – JavaScript Rendering, Fingerprinting, and Large-Scale Data Processing Duration: ~60 minutes Link A: https://hackmd.io/@husseinsheikho/WS-6A Link B: https://hackmd.io/@husseinsheikho/WS-6B
#AdvancedScraping #JavaScriptRendering #BrowserFingerprinting #DataPipelines #LegalCompliance #ScrapingOptimization #EnterpriseScraping #WebScraping #DataEngineering #TechInnovation

Part 5: Specialized Web Scraping – Social Media, Mobile Apps, Dark Web, and Advanced Data Extraction Duration: ~60 minutes Li
Part 5: Specialized Web Scraping – Social Media, Mobile Apps, Dark Web, and Advanced Data Extraction Duration: ~60 minutes Link A: https://hackmd.io/@husseinsheikho/WS-5A Link B: https://hackmd.io/@husseinsheikho/WS-5B
#SocialMediaScraping #MobileScraping #DarkWeb #FinancialData #MediaExtraction #AuthScraping #ScrapingSaaS #APIReverseEngineering #EthicalScraping #DataScience

Part 4: Cutting-Edge Web Scraping – AI, Blockchain, Quantum Resistance, and the Future of Data Extraction Duration: ~60 minut
Part 4: Cutting-Edge Web Scraping – AI, Blockchain, Quantum Resistance, and the Future of Data Extraction Duration: ~60 minutes Link A: https://hackmd.io/@husseinsheikho/WS-4A Link B: https://hackmd.io/@husseinsheikho/WS-4B #AIWebScraping #BlockchainData #QuantumScraping #EthicalAI #FutureProof #SelfHealingScrapers #DataSovereignty #LLM #Web3 #Innovation

Part 3: Enterprise Web Scraping – Building Scalable, Compliant, and Future-Proof Data Extraction Systems Duration: ~60 minute
Part 3: Enterprise Web Scraping – Building Scalable, Compliant, and Future-Proof Data Extraction Systems Duration: ~60 minutes Link A: https://hackmd.io/@husseinsheikho/WS-3A Link B (Rest): https://hackmd.io/@husseinsheikho/WS-3B
#EnterpriseScraping #DataEngineering #ScrapyCluster #MachineLearning #RealTimeData #Compliance #WebScraping #BigData #CloudScraping #DataMonetization

Part 2: Advanced Web Scraping Techniques – Mastering Dynamic Content, Authentication, and Large-Scale Data Extraction Duratio
Part 2: Advanced Web Scraping Techniques – Mastering Dynamic Content, Authentication, and Large-Scale Data Extraction Duration: ~60 minutes Link: https://hackmd.io/@husseinsheikho/WS-2 Hashtags:
#WebScraping #AdvancedScraping #Selenium #Scrapy #DataEngineering #Python #APIs #WebAutomation #DataCleaning #AntiScraping

photo content

Today we're going to start a lesson on web scraping

Another powerful open-source text-to-speech tool for Python has been found on GitHub — Abogen 🌟 link: https://github.com/denizsafak/abogen It allows you to quickly convert ePub, PDF, or plain text files into high-quality audio with auto-generated synchronized subtitles. Main features: 🔸Support for input files in ePub, PDF, and TXT formats 🔸Generation of natural, smooth speech based on the Kokoro-82M model 🔸Automatic creation of subtitles with time stamps 🔸Built-in voice mixer for customizing sound 🔸Support for multiple languages, including Chinese, English, Japanese, and more 🔸Processing multiple files through batch queue 👉 @DataScience4

Python Cheat sheet 👉 @DataScience4
Python Cheat sheet 👉 @DataScience4

Join our WhatsApp channel There are dedicated resources only for WhatsApp users https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

5 minutes of work - 127,000$ profit! Opened access to the Jay Welcome Club where the AI bot does all the work itself💻 Usuall
5 minutes of work - 127,000$ profit! Opened access to the Jay Welcome Club where the AI bot does all the work itself💻 Usually you pay crazy money to get into this club, but today access is free for everyone! 23,432% on deposit earned by club members in the last 6 months📈 Just follow Jay's trades and earn! 👇 https://t.me/+mONXtEgVxtU5NmZl

Совет по Python: Использование встроенных функций делает код короче и заставляет тебя выглядеть как гений. Традиционный спосо
Совет по Python: Использование встроенных функций делает код короче и заставляет тебя выглядеть как гений. Традиционный способ 👇
def find_max(numbers):
    max_num = numbers[0]
    for num in numbers:
        if num > max_num:
            max_num = num
    return max_num

numbers = [4, 2, 9, 7, 5, 6]
print(find_max(numbers))

# Вывод: 9
Гениальный способ 👇
def find_max(numbers):
    return max(numbers)

numbers = [4, 2, 9, 7, 5, 6]
print(find_max(numbers))

# Вывод: 9
👉 @DataScience4

🚀 Comprehensive Guide: How to Prepare for a Django Job Interview – 400 Most Common Interview Questions Are you ready to get
🚀 Comprehensive Guide: How to Prepare for a Django Job Interview – 400 Most Common Interview Questions Are you ready to get a job: https://hackmd.io/@husseinsheikho/django-mcq #DjangoInterview #Python #WebDevelopment #Django #BackendDevelopment #RESTAPI #Database #Security #Scalability #DevOps #InterviewPrep

🚀 Comprehensive Tutorial: Build a Folder Monitoring & Intruder Detection System in Python Read and get code: https://hackmd.
🚀 Comprehensive Tutorial: Build a Folder Monitoring & Intruder Detection System in Python Read and get code: https://hackmd.io/@husseinsheikho/Build-a-Folder-Monitoring #Python #Security #FolderMonitoring #IntruderDetection #OpenCV #FaceCapture #Automation #Windows #TaskScheduler #ComputerVision

### 📱 Mobile & Embedded 21. PyQt for Android (Kivy + PyQt) - Experimental but working solutions - *Best for:* Targeting mobile platforms 22. Raspberry Pi PyQt5 Guides - Optimizing PyQt5 for low-power devices --- ### Key Tips for Effective Learning: 1. Start with Qt Designer – Visual prototyping accelerates learning 2. Convert Qt C++ examples – 90% of Qt's official examples translate directly to PyQt5 3. Master signals/slots early – Core to Qt's event-driven architecture 4. Use `QThread` properly – Critical for responsive UIs 5. Explore QSS styling – Makes your apps look professional with CSS-like syntax
# Example QSS Styling
app.setStyleSheet("""
    QPushButton {
        background-color: #4CAF50;
        border-radius: 4px;
        padding: 8px;
    }
    QLineEdit:focus {
        border: 2px solid #2196F3;
    }
""")
Which resource to choose? - Beginners: Start with ZetCode or Real Python tutorials - Intermediate: Build projects using PyQt5 Boilerplate - Advanced: Study the Qt source code and contribute to PyQtGraph Happy coding! 🚀

Here are the top resources to master PyQt5, categorized for different learning styles and skill levels: --- ### 📚 Official Documentation & Core Resources 1. Qt Official Documentation - The definitive reference for all Qt classes (PyQt5 closely follows Qt's C++ docs) - *Best for:* Understanding class hierarchies and method signatures 2. Riverbank Computing PyQt5 Official - Python-specific documentation and licensing details - *Best for:* Python-specific implementation details --- ### 🎓 Structured Courses 3. Udemy: PyQt5 Masterclass - Hands-on projects (calculator, database apps, web browsers) - *Best for:* Visual learners who prefer project-based learning 4. Real Python: PyQt5 Tutorials - Free high-quality tutorials with practical examples - *Best for:* Beginners wanting concise, practical introductions 5. ZetCode PyQt5 Tutorial - Comprehensive free tutorial covering widgets to advanced topics - *Best for:* Methodical learners who prefer text-based learning --- ### 📖 Books 6. "PyQt5 GUI Application Development" (2023 Edition) - Covers modern PyQt5 practices including QML integration - *Best for:* Developers wanting up-to-date best practices 7. "Create GUI Applications with Python & Qt" (Martin Fitzpatrick) - Available as ebook with free sample chapters - *Best for:* Practical application development 8. "Rapid GUI Programming with Python and Qt" (Mark Summerfield) - Classic book covering PyQt fundamentals - *Best for:* Understanding Qt's design philosophy --- ### 🛠 Tools & Utilities 9. Qt Designer - Bundled with PyQt5 (pyqt5-tools package) - Drag-and-drop UI builder (generates .ui files) - *Tip:* Convert .ui to Python with:
     pyuic5 input.ui -o output.py
     
10. Eric IDE - Full-featured Python IDE built with PyQt5 - Includes Qt Designer integration and debugger - Download here --- ### 💡 Advanced Learning 11. PyQtGraph - High-performance data visualization library built on PyQt5 - *Best for:* Scientific applications and real-time plotting 12. PyQt6 Migration Guide - Essential if planning to upgrade to PyQt6 - *Key changes:* Enums, QAction initialization 13. Qt Examples Repository - Clone the official Qt examples and port them to PyQt5:
      git clone https://code.qt.io/cgit/qt/qtbase.git --branch=5.15
      
--- ### 🎥 Video Resources 14. Python GUIs YouTube Channel - Free tutorials on PyQt5/PySide2 - *Highlights:* Custom widget tutorials and modern UI techniques 15. FreeCodeCamp PyQt5 Course - 5-hour comprehensive free course - *Best for:* Learners who prefer long-form video content --- ### 🌐 Communities 16. Stack Overflow [pyqt] Tag - Over 30k answered questions - *Pro tip:* Search with [pyqt] is:answered 17. /r/pyqt on Reddit - Active community for troubleshooting and sharing projects 18. PyQt Discord Server - Real-time help from experienced developers - Invite link: Python GUIs Discord --- ### 🔧 Project Templates 19. PyQt5 Boilerplate - Pre-configured project with: - MVC structure - QSS styling - Resource management 20. PyQt5-Starter-Template - Includes: - Dark/light theme toggle - High DPI support - Logging setup ---